Reseach Area :
Macroalgal biomass production and its conversion to bioenergy and value-added products, cellular biotechnology for seedling production and genetic improvement of seaweeds, seaweed biorefinery, nutraceutical supplements.

Reseach Area :
Computational Fluid Dynamics and
Mathematical Modeling
Research
Publications:
International – 1
Conference Proceeding- 1
Sponsored Projects :
Government - 1
Publications:
(peer reviewed) so far : 3
Conference Proceedings (Papers) : 7
Seminars /Lectures/
Orations delivered : 10
Masters Awarded as
single/ Co-Guide: 1
Ph. D. Awarded as
Single/ Co-Guide: 1Numerical Studies of Thermal Stratification in Liquid Metal fast Breeder Reactor
Energy is one of the most important
needs for growth and prosperity
of the modern world. The various
sources of energy can be nonrenewable
(coal, natural gases and
petroleum) and renewable sources of
energy (biomass, solar, wind etc). In
the recent years, nuclear energy has
emerged as a vital source of energy
especially in developing countries
like India. Various designs of nuclear
reactors (Boiling water reactors
(BWR), Pressurized water reactors
(PWR), Pressurized heavy water
reactors (PHWR), Liquid Metal Fast
breeder reactors (LMFBR) etc. are
being developed and implemented
for the power generation across the
world. Researchers have developed
their interest in design of LMFBR’s.
Since, they have capability of high
power generation with less amount
of fuel as compared to other nuclear
reactors.
Thermal stratification is one of
the most important problems in
Liquid Metal Fast Breeder Reactor
(LMFBR). The understanding of
thermal stratification is very much
essential for design of LMFBR.
During, SCRAM condition the cold
fluid enters into the hot pool. Due
to high density of the cold fluid, it will be collected in the lower part of
the reactor vessel. A large part of the
coolant in the upper part of reactor
vessel remains hot. This phenomenon
creates a thermal stratified condition
and produces an axial temperature
gradient in the reactor pool. Thus,
the study of the degree of thermal
stratification and its persistence are
essential for the thermal design of
LMFBR. Several studies [1-2] (both
experimental and numerical) have
been carried out to study the thermal
stratification in fast breeder reactors.
At present CFD studies have
been carried out to investigate the
parametric sensitivity of standard k-e
model for thermal stratification.
Fig.1 shows the effect of Cµ
(0.05,0.07 and 0.09) on rising speed
of the stratification interface. It
was interesting to note that below
intermediate heat exchanger’s
(IHX)(z* < 0.4), the predicted
interface height agreed well with
the experimental data. But, it under
predicts in the upper part of the
reactor vessel (Fig. 1). It may be
concluded that the parametric
sensitivity of k-e model fails to
predict thermal stratification and it’s
characteristics in the upper part of the
reactor vessel.
Further, experimental studies have
been carried out in the lab scale to
investigate the effects of Richardson
numbers (Ri’s) on thermal
stratification and it’s characteristics.
Fig. 2 shows the experimental setup.
It has been observed that, nondimensional
interface height (z*)
is inversely proportional to Ri. It
means that at high Ri, interface
velocity decreases. This may be due to
increase in the buoyancy forces near
the stratification interface. Further,CFD studies have been carried out
to investigate the turbulence models
on thermal stratification. CFD
validations have been carried out
at Ri = 5.85. Fig. 4 shows the effect
of turbulence models on thermal
stratification. Since, it has been found
from the parametric study of k-e
model [3] is not a robust model for the
predictions of thermal stratification.
So in the present study standard k-?
model and SST k-? model have been
considered for the computation.
It was interesting to note that, the
prediction of stratification interface
from standard k-? model agreed well
with the experimental data. So, it may
be concluded that the standard k-?
model is giving better performance
as compared to SST k-? model for
thermal stratification studies.
References :
• Moriya S., Tanaka N.,
Katano N., Wada A. (1987)
Effects of Reynolds number
and Richardson number on
thermal Stratification in hot
plenum, Nuclear Engineering
and Design, 99: 441-451
• Muramatsu T. and Ninokata
H. (1994) Investigation of
turbulence modelling in thermal
stratification analysis, Nuclear
Engineering and Design, 150 :
81-93.
• Das, Shyam. S; Sahu, A.K;
Padmakumar, G; Ganguli, A
(2012) CFD Analysis of thermal
stratification and sensitivity
study of model parameters
for k-e model in cylindrical hot
plenum , Nuclear Engineering
and Design, Article in Press,
May 2012.

Reseach Area :
• Optimization and Statistical
Techniques,
• Differential Geometry &
Analysis
• Mathematical Pedagogy,
• Use of Computer Aided Tools
and Mathematical Software in
Mathematics.
Publications:
(peer reviewed) so far : 1Conference
proceedings/papers : 6
Seminars /Lectures/
Or ations delivered : 30
Post graduate Thesis
supervision during
2012-13: 01
Highlights of
research work
done and its impart
(maximum two singlespaced
pages with
figures/diagrams etc.):
My current area of interest is in the
fled of Optimization Techniques,
Statistical Techniques, Numerical
Method and Mathematical Pedagogy.
Although my doctoral thesis was in
the area of Differential Geometry, I
have not been able to work further
in this area due to the nature of
my current teaching assignments.
However, this has provided me
opportunity to developed newer
interests. I plan to continue to focus
these areas and get deeply involved.
I also have significant experiences
in using mathematical software and
programming languages which are
very important especially in these
areas of mathematics. I wish to explore
the water resources management
programmes where optimization
and statistical techniques such
as stochastic optimization, and
distribution free techniques etc.
can play a significance role. I believe
not much has been done in India in
this area and there is a lot of scope,
especially when the county is facing a
lot of challenges.
Mathematical software have potential
to facilitate an active approach
to learning, to allow students to
become involved in discovery and
to consolidate their own knowledge,
thus developing conceptual and
geometrical understanding and
a deeper approach to learning.
Emergence of such mathematical
tools and its ability to deal with most
of the undergraduate mathematics
cannot be ignored by mathematics
educators. While use of computer
technologies in many countries in
teaching and learning mathematics have made a significant impact
at all levels, use of such tools in
mathematics teaching at all levels is
in its infancy in India. So much so,
that many mathematics teachers are
not even aware of existence of such
tools. My aim is to create awareness
about innovative use of Mathematical
Software among mathematics
teachers across the country. I also
wish to create a pool of teachers
who can create innovative teaching
modules, constantly regular update
mathematics teachers knowledge
and work as catalyst. We can also
create an institution which can take
care teachers training programme at
all level and use of (Information and
communication Technology) ICT
will be in its forefront.
I have been involved with the
Mathematics Training and Talent
Search (MTTS) programme for last
several years in the various capacities.
I believe that this programme has
benefited a lot of students including
me and has made a significant impact
on mathematical science in India.

Reseach Area :
Synthesis of Functional Molecules (Organic and Inorganic) for Biological Application
...................................................
Position open for JRF, Inspire Fellow for Ph.D. Program
...................................................

Reseach Area :
Indian traditional foods, Chemistry
and preservation of foods, Product
development and processing, Cereals
and cereal products, Starch chemistry
and technology, Preservation of
foods, Newer technologies in
preservation of traditional foods.

Reseach Area :
1. Research on Metabolic disorders and related complications on cellular and molecular level.
2. Study of neurodegenerative and neurological disorders for effective therapy of Parkinson’s disease, Alzheimer’s disease and Epilepsy.
3. Standardization of protocols for in-vitro and in-vivo pharmacological evaluation of herbal substances for immunomodulatory, hepatoprotective, aphrodisiac, appetite stimulant, anti-diabetic, anti-convulsant and anti-osteoporotic activity.
4. Biotechnological isolation, production and purification of enzymes and phytoactives of pharmacological and nutraceutical importance, using fermentation technology.
5. Pharmacological evaluation of various herbal substances including safety, efficacy and pharmacokinetics profiling of new drug delivery systems and new chemical entities, Ayurvedic and homeopathic formulations.
6. Evaluation of biocompatible materials as per international norms and requirements.
7. Study of heavy metal toxicity in Ayurvedic formulations and alternative medicines using modern research methodology.
8. Toxicity evaluation as per international norms and requirements. Evaluation of acute, sub-acute and chronic toxicity according to OECD guidelines. 9. Evaluation of Dermal toxicity and hypersensitivity reactions according to OECD guidelines.
10. Studies on herb-drug interactions.
11. Pharmacokinetic studies.
12. Screening anti-tubercular activities of isolated phytoconstituents.

Reseach Area :
Catalyst development for environmental application,
Oxidation of diesel engine exhaust and Volatile organic compound into CO2 using catalyst,
Selective oxidation of hydrocarbon into valuable chemicals,
Reduction of NOx into N2 from stationary (Genset etc.) and mobile (Car etc.) sources.
Development of the method for analysis of the sample.

Reseach Area :
Mechanistic investigation of organic reactions, effect of reaction media on the selectivity and reactivity (with a special focus on aqueous systems), theory and mechanism of asymmetric amplification, interfacial reactions, “on water” chemistry, application of Raman microspectroscopy for space and time-resolved study of reactions in confined media, mechanism of amide hydrolysis in constrained molecules, kinetics and mechanism of protein aggregation